How Meta Uses LSTM

The article discusses the optimization of Real-Time Communication (RTC) bandwidth estimation using a machine learning (ML) approach at Meta.

The article discusses Facebook's advancements in infrastructure through the development of application-specific hardware to enhance performance and efficiency.

The article discusses the open-sourcing of the LASER (Language-Agnostic SEntence Representations) toolkit, which enhances natural language processing (NLP) capabilities across 93 languages.

The article discusses Rosetta, a large-scale machine learning system developed by Facebook to understand text in images and videos.

The article discusses the development of Embodied Question Answering (EmbodiedQA) by Facebook AI Research (FAIR) and Georgia Tech, focusing on creating autonomous agents capable of perception, comm...

The article discusses the expansion of the Open Neural Network Exchange (ONNX) format, which enhances interoperability among various AI frameworks, thereby accelerating AI development.

The article discusses Facebook's transition from phrase-based machine translation to neural machine translation, highlighting the challenges and improvements achieved through the use of sequence-to...

ParlAI is an open-source platform developed by Facebook AI Research (FAIR) for training and testing dialog models across multiple tasks.

The article discusses the development of an efficient neural language model capable of processing over a billion words, focusing on the innovations made by Facebook AI Research (FAIR) in training l...